This textbook provides senior undergraduate and graduate students with an introduction to the basic concepts used the statistical physics of polymers. Methods of Gaussian chain statistics are discussed in detail. Applications to numerous interesting phenomena ranging from the microscopic (chain conformations, biopolymers, etc.) to the macroscopic (phase separations, rheology, etc.) are described. Readers are assumed to have taken elementary courses on statistical physics, quantum physics and mathematical physics, but prior knowledge of polymer science is not required. The book contains many illustrations and diagrams as well as exercises, which will help readers to easily and intuitively understand the concepts described in the text.
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From the reviews: "Kawakatsu (Tohoku Univ., Japan) introduces the theoretical work behind the statistical mechanics of polymers and complex fluids. ... The author uses frequent examples to reinforce the results of the derivations. ... Summing Up: Recommended. Upper-division undergraduates through faculty." (E. Kincanon, CHOICE, Vol. 42 (5), January, 2005) "The author does a fine job with this challenging material. The text is concise, logical and written with a clarity that is particularly impressive ... . It is complemented by a wealth of figures ... . Intended as a teaching aid rather than a comprehensive survey, the volume is well suited to its target audience of graduate and advanced undergraduate students with physics backgrounds. However, it is also likely to be valuable to a wider readership of polymer chemists and engineers ... ." (A Uhlherr, Polymer International, Issue: 54, 2005) "This particular book ... was conceived as an introduction to the concepts as well as theoretical methods used in contemporary research in the physics of polymers and complex fluids. ... All in all this is an interesting and useful book. ... this book seems to be almost a perfect basis for an advanced graduate course of polymer physics and I would certainly recommend it as such." (R. Podgornik, Journal of Statistical Physics, Vol. 122 (2), 2006)